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Artificial intelligence has improved by leaps and bounds over the last few decades and has changed the way many people, including corporate managers, conduct business. But the use of algorithms in managerial decision-making isn’t universal, and there are a few factors that spur greater use of AI: how the manager gets paid, and how the artificial intelligence is framed, according to a new study co-led by a Cornell researcher.
Cornell researchers are demonstrating how artificial intelligence – particularly deep learning and generative modeling – can accelerate the design of new molecules and materials, and even function as an autonomous research assistant.
A new study by researchers at Cornell Tech and the University of Pennsylvania shows freelance writers who are suspected of using AI have worse evaluations and hiring outcomes. Freelancers whose profiles suggested they had East Asian identities were more likely to be suspected of using AI than profiles of white Americans. And men were more likely to be suspected of using AI than women.
Researchers at Cornell Tech have released a dataset extracted from more than 300,000 public Reddit communities, and a report detailing how Reddit communities are changing their policies to address a surge in AI-generated content.
Researchers at Cornell have developed a new type of smart clothing that can track a person’s posture and exercise routine but looks, wears – and washes – just like a regular shirt.
We are living in the most consequential decade in artificial intelligence’s history. We don’t know exactly what the future will look like, and we don’t know exactly what innovations it will bring, but we know one thing for certain: AI will be shaped by the people who have access to the most computing power and data.
A Cornell Tech-led research group is in the early stages of developing a portable, inexpensive device that uses radio frequency signals and machine learning for another important job: measuring lead contamination levels in soil.
A new program at Cornell will tackle critical environmental challenges by integrating advanced artificial intelligence (AI) tools with sustainability research across the campus, thanks to a grant from the National Science Foundation’s Research Traineeship Program.
